Dr. Munish Kansal

Assistant Professor

Specialization

Numerical Analysis & Numerical Linear Algebra

Email

munish.kansal@thapar.edu

Specialization

Numerical Analysis & Numerical Linear Algebra

Email

munish.kansal@thapar.edu

Contact No.

+91-9855-087-206

Assistant Professor

munish.kansal@thapar.edu, mkmaths@gmail.com

Biography

Dr. Munish Kansal is working as an Assistant Professor in the School of Mathematics (SOM), Thapar Institute of Engineering & Technology (TIET), Patiala, since July, 2018. He received his Ph.D. degree from the Department of Mathematics, Panjab University, Chandigarh, in 2017. His broad area of research is mathematical analysis of nonlinear equations, dynamical analysis, matrix analysis, and computation of various generalized inverses in numerical linear algebra.

Education

  • Ph.D. (Mathematics) from Panjab University, Chandigarh
  • M.Sc. (Hons. School) from Panjab University, Chandigarh
  • B.Sc. (Hons. School) from Panjab University, Chandigarh

Experience: Total Teaching Experience: More than 9 years

  • Assistant Professor: Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, India from November, 2018 to Present.
  • Assistant Professor: Department of Applied Sciences, University Institute of Engineering and Technology, Panjab University, Chandigarh from 2013 to 2018.

Teaching Interests:

  • Engineering Mathematics-I, II, III
  • Numerical Analysis (Theory + Practical implementations in MATLAB)
  • Linear Algebra and Operations Research
  • Complex Analysis
  • Computer Programming: MATLAB (Theory + Practical)
  • Matrix Computation (Theory + Practical)
  • Numerical and Statistical Methods (Theory + Practical)
  • Mathematics-I

Research Interest:

  • Matrix functions
  • Generalized Inverses
  • Outer Inverses
  • Stability and Bifurcation Analysis
  • Numerical solutions of nonlinear equations and systems of nonlinear equations
  • Dynamical Analysis

Publications:

Journals

  1. Litika Rani, Munish Kansal (2023): Numerically stable iterative methods for computing matrix sign function. Mathematical Methods in the Applied Sciences (Wiley) (SCIE). DOI: 10.1002/mma.9004 (Impact factor: 3.007)
  2. Himani Sharma, Munish Kansal, Ramandeep Behl (2022): An Efficient Two-Step Iterative Family Adaptive with Memory for Solving Nonlinear Equations and Their Applications. Mathematical and Computational Applications (MDPI), 27 (6), 97. DOI: 10.3390/mca27060097
  3. Litika Rani, Fazlollah Soleymani, Munish Kansal, Hemant Kumar Nashine (2022): An optimized Chebyshev–Halley type family of multiple solvers: Extensive analysis and applications. Mathematical Methods in the Applied Sciences (Wiley), 2022, 1-19 (SCIE). DOI: 10.1002/mma.8699 (Impact factor: 3.007)
  4. Munish Kansal, Sanjeev Kumar, Manpreet Kaur (2022): An efficient matrix iteration family for finding the generalized outer inverse. Applied Mathematics and Computation (Elsevier), 430, 127292 (SCIE). DOI: 10.1016/j.amc.2022.127292 (Impact factor: 4.397)
  5. Litika Rani, Munish Kansal (2022): An optimal derivative-free King’s family for multiple zeros and its dynamics. Engineering Computations (Emerald), 39(6) 2367-2390 (SCIE). DOI: 10.1108/EC-08-2021-0449 (Impact factor: 1.593)
  6. Manpreet Kaur, Sanjeev Kumar, and Munish Kansal (2021): New derivative-free iterative family having optimal convergence order sixteen and its applications. Engineering Computations (Emerald), 39(3), 965-992 (SCIE). DOI: 10.1108/EC-03-2021-0155 (Impact factor: 1.593)
  7. Munish Kansal, Alicia Cordero, Sonia Bhalla, and Juan R. Torregrosa (2021): New fourth-and sixth-order classes of iterative methods for solving systems of nonlinear equations and their stability analysis. Numerical Algorithms (Springer) 87(3), 1017-1060 (SCIE). DOI: 10.1007/s11075-020-00997-4 (Impact factor:2.370)
  8. Raj Bala, Munish Kansal and Vinay Kanwar (2021): An optimal class of fourth-order multiple root finders of Chebyshev-Halley type and their basins of attraction. International Journal of Computing Science and Mathematics (InderScience), 14(1), 17-35 (Scopus). DOI: 10.1504/IJCSM.2021.118074
  9. Manpreet Kaur, Munish Kansal, Sanjeev Kumar, (2021): An Efficient Matrix Iterative Method for Computing Moore–Penrose Inverse. Mediterranean Journal of Mathematics (Springer), 18(2), 1-21 (SCIE). DOI: 10.1007/s00009-020-01675-4 (Impact factor: 1.305)
  10. Munish Kansal, Alicia Cordero, Sonia Bhalla, Juan R. Torregrosa (2020): Memory in a New Variant of King’s Family for Solving Nonlinear Systems. Mathematics (MDPI), 8(8), 1251 (SCIE). DOI: 10.3390/math8081251 (Impact factor: 2.592)
  11. Munish Kansal, Alicia Cordero, Juan R. Torregrosa, Sonia Bhalla (2020): A stable class of modified Newton-like methods for multiple roots and their dynamics. International Journal of Nonlinear Sciences and Numerical Simulation (De Gruyter), 21(6), 63-621 (SCIE). DOI: 10.1515/ijnsns-2018-0347 (Impact factor: 2.156)
  12. Manpreet Kaur, Munish Kansal (2020): An efficient class of iterative methods for computing generalized outer inverse M_(T,S)^((2)). Journal of Applied Mathematics and Computing (Springer), 64 (1), 709-736 (SCIE). DOI: 10.1007/s12190- 020-01375-y (Impact factor: 2.196)
  13. Munish Kansal, Ali Saleh Alshomrani, Sonia Bhalla, Ramandeep Behl, Mehdi Salimi (2020): One parameter optimal derivative-free family to find the multiple roots of algebraic nonlinear equations. Mathematics (MDPI), 8(12), 2223 (SCIE). DOI: 10.3390/math8122223 (Impact factor: 2.592)
  14. Ramandeep Behl, Munish Kansal, Mehdi Salimi (2020): Modified King’s Family for Multiple Zeros of Scalar Nonlinear Functions. Mathematics (MDPI) 8(5), 827 (SCIE). DOI: 10.3390/math8050827 (Impact factor: 2.592)
  15. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2020): Ball convergence for a three-point method with optimal convergence order eight under weak conditions. Asian-European Journal of Mathematics (World Scientific), 13(2), (MathSciNET) (Reviewed by American Mathematical Society) DOI: 10.1142/S1793557120500485
  16. Manpreet Kaur, Munish Kansal, Sanjeev Kumar (2020): An efficient hyperpower iterative method for computing weighted Moore–Penrose inverse. AIMS Math. (AIMS), 5(3), 1680-1692 (SCIE). DOI: 10.3934/math.2020113 (Impact factor: 2.739)
  17. Hessah Faihan Alqahtani, Ramandeep Behl, Munish Kansal (2019): Higher-Order Iteration Schemes for Solving Nonlinear Systems of Equations. Mathematics (MDPI), 7(10), 937 (SCIE). DOI: 10.3390/math7100937 (Impact factor: 2.592)
  18. R. A. Alharbey, Munish Kansal, Ramandeep Behl, J. A. Tenreiro Machado (2019): Efficient Three-Step Class of Eighth-Order Multiple Root Solvers and Their Dynamics. Symmetry (MDPI), 11(7), 837 (SCIE). DOI: 10.3390/sym11070837 (Impact factor: 2.940)
  19. Munish Kansal, Ramandeep Behl, Mohammed Ali A. Mahnashi, Fouad Othman Mallawi (2019): Modified Optimal Class of Newton-Like Fourth-Order Methods for Multiple Roots. Symmetry (MDPI), 11(4), 526 (SCIE). DOI: 10.3390/sym11040526 (Impact factor: 2.940).
  20. Ioannis K. Argyros, Munish Kansal, Vinay Kanwar (2018): Ball convergence for an Aitken-Newton method. Journal of Numerical Analysis and Approximation Theory, 47(2), 114-123 (Scopus). DOI: 10.33993/jnaat472-1082
  21. Ioannis K. Argyros, Munish Kansal, Vinay Kanwar, Sugandha Bajaj (2017): Higher-order derivative-free families of Chebyshev-Halley type methods with or without memory for solving nonlinear equations. Applied Mathematics and Computation (Elsevier), 315, 224–245 (SCIE). DOI: 10.1016/j.amc.2017.07.051 (Impact factor: 4.397)
  22. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2017): Ball convergence of a stable fourth-order family for solving nonlinear systems under weak conditions. Studia Universitatis Babes-Bolyai, Mathematica, 62 (1), 127–135 (MathSciNET) (Reviewed by American Mathematical Society). DOI: 10.24193/subbmath.2017.0010
  23. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2017): Ball convergence for two optimal eighth-order methods using only the first derivative. International Journal of Applied and Computational Mathematics (Springer) 3(3), 2291–2301 (SCOPUS). DOI: 10.1007/s40819-016-0196-1
  24. V. Kanwar, Raj Bala, Munish Kansal (2017): Some new weighted eighth-order variants of Steffensen-King’s type family for solving nonlinear equations and its dynamics. SeMA (Springer), 74, 75-90 (MathSciNET). DOI: 10.1007/s40324-016-0081-1
  25. Munish Kansal, V. Kanwar, Saurabh Bhatia (2016): Optimized mean based second derivative-free families of Chebyshev-Halley type methods. Numerical Analysis and Applications (Springer), 19(2), 167–181 (Reviewed by American Mathematical Society). DOI: 10.1134/S199542391602004X
  26. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2016): On the local convergence of an eighth-order method for solving nonlinear equations. Annals of West University of Timisoara-Mathematics and Computer Science, 1, 3–16, (MathSciNET) (Reviewed by American Mathematical Society). DOI: 10.1515/awutm -2016-0001
  27. Munish Kansal, V. Kanwar and Saurabh Bhatia (2016): Efficient derivative-free variants of Hansen Patrick’s family with memory for solving nonlinear equations. Numerical Algorithms (Springer), 73(4), 1017-1036 (SCIE). DOI: 10.1007/s11075-016-0127-6 (Impact factor: 2.064)
  28. Ioannis K. Argyros, Munish Kansal (2016): Unified local convergence for a certain family of methods in Banach space, SeMA (Springer), 73, 325–334. DOI: 10.1007/s40324-016-0071-3 (MathSciNET).
  29. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2016): Local convergence for multipoint methods using only the first derivative. SeMA (Springer), 73, 369–378 (MathSciNET). DOI: 10.1007/s40324- 016-0075-z.
  30. Alicia Cordero, Munish Kansal, V. Kanwar and Juan R. Torregrosa (2016): A stable class of improved second-derivative free Chebyshev-Halley type methods with optimal eighth order convergence. Numerical Algorithms (Springer), 72(4), 937-958 (SCIE). DOI: 10.1007/s11075-015-0075-6 (Impact factor: 2.370)
  31. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2016).: Ball convergence for Ostrowski-like method with accelerated eighth order convergence under weak conditions. International Journal of Advances in Mathematics, 1, 17–25
  32. Ioannis K. Argyros, Munish Kansal, V. Kanwar (2016).: Ball convergence for two and three-point methods with memory based on Hermite interpolation. International Journal of Advances in Mathematics, 1, 26–36
  33. Munish Kansal, V. Kanwar and Saurabh Bhatia (2015): New modifications of Hansen-Patrick’s family with optimal fourth and eighth orders of convergence. Applied Mathematics and Computation (Elsevier), 269, 507–519 (SCIE). DOI: 10.1016/j.amc.2015.07.101 (Impact factor: 4.397)
  34. V. Kanwar, Sanjeev Kumar, Munish Kansal, Arvind Garg (2015): Efficient families of Newton’s method and its variants suitable for non-convergent cases. Afrika Matematika (Springer), 27, 767–779 (MathSciNET). DOI: 10.1007/s13370-015-0376-x
  35. Munish Kansal, Vinay Kanwar and S. Bhatia (2015): On some optimal multiple root-finding methods and their dynamics. Applications and Applied Mathematics, An International Journal (AAM), 10(1), 349–367 (MathSciNET) (Reviewed by American Mathematical Society). DOI: https://digitalcommons.pvamu.edu/aam/vol10/iss1/22/
  36. Munish Kansal, Vinay Kanwar, Saurabh Bhatia (2015): An Optimal Eighth-Order Derivative Free Family of Potra-Pták’s Method. Algorithms (MDPI), 8(2), 309–320 (MathSciNET) (Reviewed by American Mathematical Society): DOI: 10.3390/a8020309
  37. Vinay Kanwar, Saurabh Bhatia, Munish Kansal (2013): New optimal class of higher-order methods for multiple roots, permitting f `(xn) = 0. Applied Mathematics and Computation (Elsevier), 222, 564–574 (SCIE). DOI: 10.1016/j.amc.2013.06.097 (Impact factor: 4.397)

Full Papers in Conferences Proceedings

  1. Ioannis K Argyros, Munish Kansal, V. Kanwar, Raj Bala (2017): An efficient class of fourth-order Jarratt-type methods for nonlinear equations, Proceedings of the International Conference on Computational Methods, vol. 4, (Guilin, Guangxi, China)
  2. Munish Kansal, V. Kanwar, Saurabh Bhatia (2015): Efficient derivative-free with memory variants of King’s family for solving nonlinear equations, published in IEEE under the title of 2nd International Conference on Recent Advances in Engineering and Computational Sciences, held on Dec. 21–22, 2015, at UIET, Panjab University, Chandigarh
  3. Munish Kansal, V. Kanwar, Saurabh Bhatia: On improved Steffensen type methods with optimal eighth-order of convergence, Proceedings of National Seminar on Advances in Applied Mathematics and Mechanics (NSAAMM), 12–13, March, 2015 (Sponsored by UGC, New Delhi)

Book chapters in Conferences Proceedings

  1. Ramandeep Behl, S.S. Motsa, Munish Kansal, V. Kanwar (2014): Fourth-order derivative-free optimal families of King’s and Ostrowski’s methods, Mathematical Analysis and its Applications, Springer proceedings in Mathematics and Statistics. (Editors: P.N. Agarwal, R.N. Mohapatra, Uaday Singh, H.M. Srivastava), (Reviewed by American Mathematical Society)
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